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	<title>Xinye Cai</title>
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				<h1>Xinye (Sean) Cai 蔡昕烨</h1>
				<a class="language" href="<%=basePath%>xinyeCai/cn">中文版</a>
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					<p>Associate Professor</p>
					<p>College of Computer Science and Technology</p>
					<p>Nanjing University of Aeronautics and Astronautics (NUAA) </p>
					<p>Email: xinye@nuaa.edu.cn</p>
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				<h2 class="item-title">Education</h2>
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					<p>I have received my BENG in the Department of Electronic and Information Engineering, Huazhong University of Science and Technology, in 2004, MSc (by research) in Department of Electronics, University of York, in 2006 and PhD in Department of Electrical and Computer Engineering, Kansas State University in 2009. </p>
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				<h2 class="item-title">Research Interest</h2>
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					<p>My main research interest is evolutionary computation (evolutionary optimization, evolutionary learning, evolutionary design), meta-heuristic algorithms, data mining and their applications in real-world problems. Recently, I am focusing upon developing meta-heuristic algorithms for multiobjective (NP-hard, nonlinear, continuous or combinatorial) optimization problems with high-dimensional variables.</p>
					<p class="second">I have published more than 20 papers in various journals and conferences, e.g., IEEE Transaction on Evolutionary Computation, Soft Computing, Computing and Informatics，International Journal of Bioinformatics Research and Application, IEEE Congress on Evolutionary Computation (CEC2012，CEC2014), IEEE Symposium Series on Computational Intelligence (SSCI2013), ACM Proceedings in the Genetic and Evolutionary Computing Conference（GECCO2007，GECCO2008, GECCO2014）.</p>
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				<h2 class="item-title">Selected Publications</h2>
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	<li>[1] X. Cai, Y. Li, Z. Fan, Q. Zhang. An External Archive Guided Multiobjective Evolutionary Algorithm based on Decomposition for Combinatorial Optimization. IEEE Transaction on Evolutionary Computation,2015, 19(4):508–523. (SCI, impact factors 5.94，1) <a href="https://github.com/xinyecai/EAG-MOEAD/blob/master/An%20External%20Archive%20Guided%20Multiobjective%20Evolutionary%20Algorithm%20Based%20on%20Decomposition%20for%20Combinatorial%20Optimization.pdf?raw=true" target="_blank">PAPER</a> & <a href="https://github.com/xinyecai/EAG-MOEAD/blob/master/EAG-MOEAD.zip?raw=true" target="_blank">CODE</a></li>
	<li>[2] X. Cai, Z. Yang, Z. Fan, Q. Zhang. A Decomposition-based Sorting and Angel-based Selection for Multi- and Many-objective Evolutionary Optimization. IEEE Transaction on Cybernetics, conditional accepted, 2016. (SCI, impact factors 4.94) <a href="https://github.com/xinyecai/MOEAD-SAS/archive/master.zip?raw=true" target="_blank">CODE</a></li>
	<li>[3] X. Cai, X. Chen, Z. Fan, L. Wang. An Adaptive Memetic Framework for Multi-objective
	Combinatorial Optimization Problems: Studieson Software Next Release and Travelling
	Salesman Problems[J]. Soft Computing, press online, 2015. （SCI, impact factors 1.63, DOI:
	10.1007/s00500-015-1921-0）</li>
	<li>[4] Z. Hu, X. Cai, Z. Fan. An Improved Memetic Algorithm Using a Ring Neighborhood
	Topology for Constrained Optimization[J]. Soft Computing, 2014,18(10): 2023-2041. （SCI,impact factors 1.63）<a href="https://github.com/xinyecai/IWO_DE_ring/blob/master/An%20improved%20memetic%20algorithm%20using%20ring%20topology%20for%20constrained%20optimization.pdf?raw=true" target="_blank">PAPER</a> & <a href="https://github.com/xinyecai/IWO_DE_ring/blob/master/IWO_DE_ring.zip?raw=true" target="_blank">CODE</a></li></li>
	<li>[5] X. Cai, Z. Hu, Z. Fan. A Novel Memetic Algorithm based on Invasive Weed Optimization and Differential Evolution for Constrained Optimization[J]. Soft Computing,
	2013,17(10):1893-1910.（SCI, impact factors 1.3）<a href="https://github.com/xinyecai/IWO_DE/blob/master/A%20novel%20memetic%20algorithm%20based%20on%20invasive%20weed%20optimization.pdf?raw=true" target="_blank">PAPER</a> & <a href="https://github.com/xinyecai/IWO_DE/blob/master/IWO_DE.zip?raw=true" target="_blank">CODE</a></li>
	<li>[6] X. Cai, N. Zhang and Y. Huang.A Two-Phase External Archive Guided Multiobjective
	Evolutionary Algorithm for the Software Next Release Problem[J]. Journal of Computational and Theoretical Nanoscience, 2016, in press.（SCI, impact factors 1.6）</li>
	<li>[7] X. Cai, Z. Yang, Z. Fan and L. Wang. A Sorting Based Selection for Evolutionary
	Multiobjective Optimization[J]. Journal of Computational and Theoretical Nanoscience,
	2016, in press. （SCI,impact factors 1.6）</li>
	<li>[8] W. Li, Z. Huang, X. Jia, X. Cai. Neighborhood based decision-theoretic rough set
	models[J]. International Journal of Approximation Reasoning, 2016, 69: 1-17. （SCI, impact factors2.45）</li>
	<li>[9] X. Cai, O. Wei, Z. Huang. Evolutionary Approaches for Multi-Objective Next Release
	Problem[J]. Computing and Informatics, 2012, 31(4): 847-861.（SCI, impact factors 0.5）</li>
	<li>[10] C. Zhu, X. Cai, Z. Fan, A Two-phase Many-Objective Evolutionary Algorithm with Penalty Based Adjustment for Reference Lines. IEEE Congress on Evolutionary Computation, accepted, 2016.</li>
	<li>[11] N. Zhang, Y. Huang, X. Cai, Z. Fan, A Multi-phase Adaptively Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Travelling Salesman Problem, IEEE Congress on Evolutionary Computation, accepted, 2016.</li>
	<li>[12] X. Cai, S. Das, S. M. Welch. A novel strategy for plant breeding based on simulations of
	gene network models[J]. International Journal of Bioinformatics Research and
	Applications, 2013, 9(5): 517-533.</li>
	<li>[13] X. Cai, X. Chen, Z. Fan. A probabilistic Pareto local search based on historical success
	counting for multiobjective optimization[C]// Genetic and Evolutionary Computation
	Conference (GECCO),2014,1163-1168. </li>
	<li>[14] X. Cai, Ou Wei. A hybrid of decomposition and domination based evolutionary algorithm for multi-objective software next release problem[C]// 10th IEEE International Conference on Control and Automation (ICCA), 2013: 412-417.</li>
	<li>[15] Z. Yang，X. Cai，Z. Fan. Epsilon constrained method for constrained multiobjective
	optimization problems: some preliminary results[C]// Genetic and Evolutionary Computation
	Conference (GECCO),2014, 1181-1186.</li>
	<li>[16] X. Chen, Y. Huang, X. Cai, O. Wei. An adaptive memetic algorithm based on
	multiobjecitve optimization for software next release problem[C]// Genetic and Evolutionary
	Computation Conference (GECCO),2014:185-186.</li>
	<li>[17] Y. Li, X. Cai, Z. Fan, Q. Zhang, An external archive guided multiobjective evolutionary
	approach based on decomposition for continuous optimization[C]// IEEE Congress on
	Evolutionary Computation (CEC) 2014: 1124-1130.</li>
	<li>[18] Z. Fan, X. Cai, W. Li, H. Lin, S. Xie, S. Wang. Evolutionary synthesis of dynamical
	systems: the past, current, and future[C]// Genetic and Evolutionary Computation Conference (GECCO),2014: 1169-1174. [19] W. Li, Z. Fan, X. Cai, H. Lin, S. Xie, S. Wang. Design optimization of MEMS using constrained multi-objective evolutionary algorithm[C]// Genetic and Evolutionary
	Computation Conference (GECCO), 2014: 1175-1180. </li>
	<li>[20] X. Cai, Z. Hu, S. Das, S. M. Welch. A hierarchical Pareto dominance based
	multi-objective approach for the optimization of gene regulatory network models[C]// IEEE
	Congress on Evolutionary Computation (CEC), 2012: 1-6.</li>
	<li>[21] Z. Fan, Y. Zuo, D. Jiang, X. Cai. Prediction of acute hypotensive episodes using random
	forest based on genetic programming[C]// IEEE Congress on Evolutionary Computation
	(CEC), 2015: 688-694.</li>
	<li>[22] Z. Fan, H. Huang, W. Li, S. Xie, X. Cai, E. D. Goodman. An opposition-based repair
	operator for multi-objective evolutionary algorithm in constrained optimization problems[C]//International Conference on Natural Computation (ICNC) 2015: 330-336.</li>
	<li>[23] Z. Fan, W. Li, X. Cai, H. Lin, S. Xie, E. D. Goodman, A New Repair Operator for
	Multi-objective Evolutionary Algorithm in Constrained Optimization Problems[J], 2015,CoRR.</li>
	<li>[24] H. Lin, Z. Fan, X. Cai, W. Li, S. Wang, J. Li, C. Zhang. Hybridizing Infeasibility Driven
	and Constrained-Domination Principle with MOEA/D for Constrained Multiobjective
	Evolutionary Optimization [M]// Technologies and Applications of Artificial Intelligence.
	Springer International Publishing, 2014:249-261</li>
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				<h2 class="item-title">Research Funding</h2>
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					<p>I have been the Principle Investigator for one Research Fund for National Science Foundation of China, one Research Fund for Science Foundation of Jiangsu Province, one Research Fund for the Doctoral Program of Higher Education of China, one Research Fund for Key Lab of Jiangsu Province, one Research Fund for Key Lab of Guangdong Province, and one Fundamental Research Fund for the Central Universities of China.</p>
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				<h2 class="item-title">Academic Activity</h2>
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					<p>IEEE member，ACM member.</p>
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					<li>Co-chair for special session CIMLDM in IEEE Congress on Evolutionary Computation (CEC2015) and IEEE World Congress on Computational Intelligence (WCCI2014);</li>
					<li>Chair for special session “Evolutionary Computation for Constrained Optimization” in the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014)</li>
					<li>Reviewers for IEEE Transaction on Evolutionary Computation, IEEE Transaction on Cybernetics, Information Sciences, Frontier of Computer Science in China, IEEE CEC, ACM GECCO.</li>
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				<h2 class="item-title">Research Student Supervision</h2>
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					<p>Zhenzhou Hu (best graduate student and graduation thesis of NUAA in 2014)</p>
					<p>Yexing Li (Huawei scholarship, RMB 8000, 2015)</p>
					<p>Zhixiang Yang(National scholarship, RMB 20,000)</p>
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				<p>Xinye Cai's Homepage</p>
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